Collaborative Research: Design of Dense RFID Systems for Indexing in the Physical World Across Space, Time, and Human Experience

集成、混合和复杂的系统亚利桑那州立大学Hari Sundaram华盛顿大学Vikram Jandhyala合作研究：设计密集的RFID系统，用于在物理世界中跨空间、时间和人类经验进行索引智能优势：射频识别(RFID)技术在物理对象中嵌入小型、廉价和被动供电的无线标签。目前的技术还不支持RFID的许多潜在的创新应用。这项研究追求多学科、综合的方法来研究RFID在物理层和数据管理层的基本技术挑战，以实现创新的以数据为中心的应用，如基于属性的对象搜索。研究集中在两个领域，分布式数据管理和(Ii)物理层限制。这项研究将研究通过仅访问指定无线电范围内的本地标签来解决对远程对象的查询的数据结构；对符号和数字逻辑属性进行有效编码以解决从单个标签对大型数据结构进行关联搜索和随机访问的成本；以及在密集标签环境中克服数据访问可靠性限制和访问故障的基于冗余的算法。在物理层，这项研究将解决由于标签密度、对扩展内存存储的需求以及缺乏芯片上的电源而产生的问题。更广泛的影响：这项研究有可能帮助个人在日益复杂的环境中生活。这项研究将有助于华盛顿大学大规模密集RFID模拟和亚利桑那州立大学强大的信息传播方面的新课程模块的开发。该项目还将允许两所大学的学生试验基于RFID的分布式信息管理的各个方面，从而提高学生对解决信息过载和隐私问题的机制的认识，这些问题是由于日益普遍但松散控制的数字足迹而产生的。

Integrative, Hybrid and Complex SystemsHari Sundaram, Arizona State UniversityVikram Jandhyala, University of WashingtonCollabortive Research: Design of Dense RFID Systems for Indexing in the Physical World across Space, Time, and Human ExperienceIntellectual Merit: Radio frequency identification (RFID) technology embeds small, inexpensive, and passively-powered radio tags in physical objects. Many potential innovative applications of RFID are not yet supported by current technology. This research pursues a multidisciplinary, integrative approach to investigate fundamental technical challenges in RFID, both at the physical and data management layers, to realize innovative data-centric applications such as attribute-based object search. The research focuses on two areas, distributed data management, and (ii) physical layer limitations. The research will investigate data structures that can resolve queries for remote objects by only accessing local tags within a specified radio range; efficient encoding of symbolic and numeric logical attributes to address the cost of associative search and random access to a large data structure from a single tag; and redundancy-based algorithms for overcoming data access reliability limitations and access failures in dense tag environments. At the physical layer, the research will address issues due to tag density, the need for extended memory storage, and the absence of on-chip power.Broader Impact: This research has the potential to aid individuals in living in increasingly complex environments. The research will aid in the development of new course modules on large-scale dense RFID simulation at the University of Washington and robust information dissemination at Arizona State University. The project will also allow students at both universities to experiment with various aspects of RFID-based distributed information management, thus increasing student awareness of mechanisms for addressing information-overload and privacy issues that arise due to increasingly widespread, yet loosely controlled, digital "footprints."